I am a research fellow at Machine Intelligence in Medicine and Imaging (MI-2) center at Mayo Clinic, AZ. My current research is focused on application of image and language processing techniques for analysis of multi-modal biomedical data such as electronic medical records, chest X-rays, CT scans, radiology reports to support clinical diagnosis, disease management, as well as clinical event prediction. My broad research interest include design and optimal management of smart infrastructure such as healthcare and transportation in the context of smart cities.
I served as an Assistant Professor at Computer Science department in Forman Christian College (A Chartered University), Pakistan, for three years. I taught undergraduate and graduate level Artificial Intelligence, Machine Learning and Data Mining courses. I also supervised various undergraduate and graduate level research projects involving Artificial intelligence, Deep learning, Computer Vision, Natural Language Processing, and Machine Learning.
I completed my PhD in Computer Science from University of Central Florida in December 2016. I was part of Computational Imaging Lab. My doctoral research was focused on confluence of Computer Vision and Natural Language processing for automatic understanding semantic relation of visual and textual data. I earned a Master's degree in Computer Engineering from Lahore University of Management Sciences (LUMS), Pakistan in 2011. Before that, I received my Bachelor's degree in Electrical Engineering from University of Engineering and Technology (UET), Lahore, Pakistan in 2008.